Stability in Mean of Partial Variables for Coupled Stochastic Reaction-Diffusion Systems on Networks: A Graph Approach by Yonggui Kao, Hamid Reza Karimi

“…The new method can help to analyze the dynamics of complex networks. An example is presented to illustrate the effectiveness and efficiency of the obtained results.…”
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Vibration Performance Redistribution in Heterogeneous Networks by Genling Huang, Jiqiang Wang

“…Many important results have been disseminated concerning the properties of complex networks. Recent technological development requires performance distribution, and this motivates the resolution to the issue of performance distributability. …”
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Community Detection with Self-Adapting Switching Based on Affinity by Ning-Ning Wang, Zhen Jin, Xiao-Long Peng

“…Community structures in complex networks play an important role in researching network function. …”
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A Local Extended Algorithm Combined with Degree and Clustering Coefficient to Optimize Overlapping Community Detection by Jing Liu, Junfang Guo, Qi Li

“…Community structure is one of the most important characteristics of complex networks, which has important applications in sociology, biology, and computer science. …”
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Local stabilization and network synchronization: The case of stationary regimes by Stefano Fasani, Sergio Rinaldi

“…These results allow one to transfer, with almost no effort, what is known for simple prototypical models in biology and engineering to complex networks composed of these models. This is shown through a series of applications ranging from networks of electrical circuits to various problems in ecology and sociology involving migrations of plants, animal and human populations.…”
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A Method for Improving the Accuracy of Link Prediction Algorithms by Jie Li, Xiyang Peng, Jian Wang, Na Zhao

“…Link prediction is a key tool for studying the structure and evolution mechanism of complex networks. Recommending new friend relationships through accurate link prediction is one of the important factors in the evolution, development, and popularization of social networks. …”
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Information Entropy Based on Propagation Feature of Node for Identifying the Influential Nodes by Linfeng Zhong, Yu Bai, Yan Tian, Chen Luo, Jin Huang, Weijun Pan

“…For understanding and controlling spreading in complex networks, identifying the most influential nodes, which can be applied to disease control, viral marketing, air traffic control, and many other fields, is of great importance. …”
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Single-Valued Neutro Hyper BCK-Subalgebras by M. Hamidi, F. Smarandache

“…We find a method that can apply these concepts in some complex networks.…”
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Development of Deep Convolutional Neural Network with Adaptive Batch Normalization Algorithm for Bearing Fault Diagnosis by Chao Fu, Qing Lv, Hsiung-Cheng Lin

“…In this paper, a CNN integrated with the adaptive batch normalization (ABN) algorithm (ABN-CNN) is developed to avoid high computing resource requirements of such complex networks. It uses a large-scale convolution kernel at the grassroots level and a multidimensional 3 × 1 small convolution nuclear. …”
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A fluid flow model for the software defined wide area networks analysis by Karol Marszałek, Adam Domański

“…This paper proposes an extension to the Fluid Flow analysis model for complex networks. This modification allows for the simulation of various networking topologies and can be used to test novel routing and active queue management algorithms in more detail. …”
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Link Prediction via Convex Nonnegative Matrix Factorization on Multiscale Blocks by Enming Dong, Jianping Li, Zheng Xie

“…Different from the original low rank matrices approximations methods for link prediction, the sparseness of solutions is in accord with the sparse property for most real complex networks. Scaling to massive size network, we use the block information mapping matrices onto distributed architectures and give a divide-and-conquer prediction method. …”
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Resilience of Core-Periphery Networks in the Case of Rich-Club by Matteo Cinelli, Giovanna Ferraro, Antonio Iovanella

“…These two procedures of core and periphery thickening delineate a decision process in the placement of new links and allow us to conduct a scenario analysis that can be helpful in the comprehension and supervision of complex networks under the resilience perspective. The advantages of the two procedures, as well as their implications, are discussed in relation to both network efficiency and node heterogeneity.…”
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Dynamic Community in static social networks using the gray wolf optimizer algorithm by Fatemeh Besharatnia, Alireza Talebpur, Sadegh Aliakbari

“…Identifying communities in complex networks is an important issues in social network analysis, and it helps researchers understand the function and display of network structures. …”
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Predicting Missing Links Based on a New Triangle Structure by Shenshen Bai, Longjie Li, Jianjun Cheng, Shijin Xu, Xiaoyun Chen

“…With the rapid growth of various complex networks, link prediction has become increasingly important because it can discover the missing information and predict future interactions between nodes in a network. …”
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Social Network Community-Discovery Algorithm Based on a Balance Factor by Lizhao Liu, Xiaomei Shu, Biao Cai

“…In recent years, the application of clustering algorithms in the community-discovery tasks of complex networks has been studied frequently. In this study, we proposed a balance factor of node density and node-degree centrality for the core-node selection problem in community discovery. …”
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The Optimization Model of E-Commerce Logistics Distribution Path Based on GIS Technology by Jianhong Jiao, Yong Liu, Cuijie Xie

“…Firstly, ArcGIS software is used to solve the problem of complex networks and realize the selection and output of optional routes. …”
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Theory and Application of Interval-Valued Neutrosophic Line Graphs by Keneni Abera Tola, V. N. Srinivasa Rao Repalle, Mamo Abebe Ashebo

“…Line graphs of neutrosophic graphs are significant due to their ability to represent and analyze uncertain or indeterminate information about edge relationships and complex networks in graphs. However, there is a research gap on the line graph of interval-valued neutrosophic graphs. …”
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Knowledge Flow Dynamics in Organizations: A Stochastic Multi-Scale Analysis of Learning Barriers by Jih-Jeng Huang, Chin-Yi Chen

“…Organizations face fundamental challenges in managing knowledge flows across complex networks, yet existing frameworks often lack quantitative tools for optimization. …”
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Dynamics of Fractional-Order Three-Species Food Chain Model with Vigilance Effect by Vinoth Seralan, Rajarathinam Vadivel, Nallappan Gunasekaran, Taha Radwan

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Efficient Enumeration of d-Minimal Paths in Reliability Evaluation of Multistate Networks by Xiu-Zhen Xu, Yi-Feng Niu, Qing Li

“…A number of real-world complex networks can be modeled as multistate networks for performance analysis. …”
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